Designed Radiopharmaceuticals: How Machine Learning Is Redefining Precision Cancer Therapy" reports on the integration of deep learning and generative AI in radiopharmaceutical medicine, its impact on ...

I have this idea of a communal brain.” David Baker, PhD, told me as I sat in his office at the University of Washington (UW) ...

Boston researchers say they have created an artificial intelligence tool that sifts through electronic health records to ...

A powerful new AI tool has uncovered what could be one of the biggest integrity problems in modern science. After analyzing 2 ...

Researchers @hopkinskimmel and @HopkinsMed develop methods to predict which #livercancer patients do best with combination ...

New York paused new hyperscale data center permits for up to one year while it studies grid, water, ratepayer, and community impacts. If you can only read one tech story a day, this is it. We use ...

Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...

Using computational tools, researchers from the Johns Hopkins Kimmel Cancer Center and the Johns Hopkins University School of Medicine have developed a method to predict which patients with a primary ...

General purpose AI tools for science, such as Claude Science, promise to accelerate research. But which is right for you?

Abstract: Whole-Slide Images (WSIs) are widely used for estimating the prognosis of cancer patients. Current studies generally follow a cancer-specific learning paradigm. However, the available ...

ImmunoStruct is a multimodal deep learning framework that integrates sequence, structural, and biochemical information to predict multi-allele class-I peptide-MHC immunogenicity. By leveraging ...